AI Sidekicks for Product Managers: Top Tools in 2024–2025

August 19, 2025

The product manager’s job spans everything from big-picture strategy to nitty-gritty execution. Fortunately, a new wave of AI-powered tools (many launched or upgraded in 2024–2025) is here to lighten the load. Below we explore the most useful AI tools that help PMs excel – organized by key responsibilities – with what makes each tool stand out. These tools use natural language interfaces, predictive analytics, and smart automation to supercharge your workflow and decision-making.

1. Roadmap Planning and Strategy

AI can assist with vision-setting, idea prioritization, and turning messy inputs into a coherent plan. The tools below help product leaders craft data-informed roadmaps and strategy documents faster:

• Jira Product Discovery + Atlassian Intelligence – Atlassian’s dedicated product discovery tool now comes with built-in generative AI assistance (support.atlassian.com). PMs can brainstorm and refine ideas by simply typing prompts into Jira Product Discovery:
  • Ideation and Drafting: The integrated Atlassian Intelligence can “brainstorm” content for idea descriptions or strategy docs based on a prompt (support.atlassian.com). For example, you can draft OKR themes or feature briefs by entering a rough idea – the AI will generate a starting draft which you can edit.
  • Auto-summaries: It can instantly summarize long product specs or research notes into bite-sized highlights (support.atlassian.com). This helps PMs digest customer feedback or technical docs and extract key points for the roadmap.
  • Smart categorization: Atlassian Intelligence uses your project context to auto-tag and organize ideas. It can group similar feature ideas or requirements, helping you spot themes without manual sorting (community.atlassian.com). This ensures nothing slips through the cracks during roadmap planning.
• Craft.io (Guru AI) – A product management platform that introduced “Guru AI” in 2025 as an intelligent assistant for planning (help.craft.iohelp.craft.io). Guru AI lives inside Craft.io and tackles the heavy lifting of roadmap prep:
  • Work item analysis: Ask Guru AI to analyze a feature idea or epic – it reads all the linked specs and feedback, then answers your questions or surfaces hidden insights (help.craft.iohelp.craft.io). For instance, it can quickly highlight the core problem a feature is solving and summarize the proposed solution (help.craft.io).
  • Automatic content generation: Guru AI can generate release notes and PRD content from your planning data (help.craft.iohelp.craft.io). When you’re ready to announce a new feature, it will draft the release announcement or executive summary for you.
  • Feedback synthesis: It also provides intelligent feedback summarization, condensing all user comments linked to a roadmap item into key themes (help.craft.io). This lets you see user needs and requests at a glance when prioritizing.
• Zeda.io – An AI-powered product discovery and strategy tool built to streamline roadmap definition (productschool.com). Zeda.io acts like a co-pilot for PMs working on product strategy:
  • Automated inbox & tagging: The platform aggregates incoming product inputs (ideas, requests, feedback) and uses AI to auto-tag and categorize them (productschool.com). This means your idea backlog and user feedback are sorted into themes (e.g. “performance”, “UX”, “new feature”) without manual triage.
  • Product intelligence: Zeda.io provides AI-driven analysis of user segments and behaviors to inform strategy (productschool.com). It can identify patterns in customer attributes or usage data – for example, highlighting that a certain cohort is under-served – helping you decide what to build next.
  • AI-generated docs: A built-in AI writing module helps draft strategy artifacts like Product Requirement Documents (PRDs) and vision decks (productschool.com). Using prompts, PMs can rapidly produce polished docs (and even customize the prompts to match their product’s tone or requirements).

(Honorable mention: ChatGPT and other conversational AI tools are generalists that many PMs use for strategy support – from brainstorming feature ideas to polishing a vision memo. For instance, PMs have used ChatGPT to outline launch plans or prioritize product ideas in a pinch (productschool.com). While not PM-specific, these AI assistants remain handy across all the categories below.)

2. User Research and Feedback Analysis

Collecting and synthesizing user insights is a huge part of a PM’s job. New AI tools digest mountains of qualitative feedback or research data and surface the nuggets that matter:

• Dovetail (AI “Magic” Features) – A popular user research repository that rolled out AI-powered analysis capabilities in 2024 (dovetail.com). Dovetail’s AI (nicknamed “magic” features) dramatically speeds up going from raw research to insights:
  • Transcription & highlights: Dovetail automatically transcribes user interview recordings and – with one click – lets you generate summaries of calls (dovetail.com). Instead of manually combing through hours of interviews, PMs get an instant recap of each session’s key takeaways.
  • Intelligent highlight tagging: The AI helps identify important moments in transcripts and documents (dovetail.com). It will suggest highlights (e.g. a user quote expressing frustration) so you can quickly pinpoint pain points or recurring themes without reading every line.
  • Semantic search: You can now Ask Dovetail questions across all your research data (dovetail.com). For example, ask “What features do users request most?” – the AI will search interviews, support tickets, etc., and return an answer or relevant excerpts. This real-time querying of qualitative data ensures you never miss critical user feedback when making product decisions.
• Productboard (with Frame AI) – Productboard has long been a PM go-to for consolidating feedback and prioritizing features. In 2024 it upped its game by integrating Frame AI to analyze customer conversations (productschool.com):
  • Sentiment & topic analysis: Frame AI integration enables AI-driven analysis of user feedback flowing into Productboard (productschool.com. It listens to support tickets, sales calls, NPS comments, etc., and automatically detects sentiment (positive, negative) and topics. A PM can see at a glance which issues customers are most frustrated about versus delighted by.
  • Automatic categorization: Incoming feedback is intelligently categorized into your predefined buckets (productschool.com). For example, all feedback related to “performance issues” or “feature X requests” will be grouped together. This saves enormous time in parsing hundreds of comments and ensures your backlog is organized by customer need.
  • Prioritization signals: By quantifying sentiment and frequency, the AI provides data-driven prioritization signals. If “Integration bugs” have very negative sentiment and high volume, Productboard will flag that as a priority area. This helps PMs justify roadmap choices with evidence from real user data.
• Sprig (AI Insights) – Sprig is a modern user feedback platform (in-product surveys, session replays, etc.) that introduced powerful AI analysis to instantly make sense of responses (sprig.com). It acts like an “experience management” assistant for PMs:
  • Real-time survey summarization: Sprig AI summarizes survey results in real time, identifying common issues and recommendations without you manually reading each response (sprig.com). For example, after a beta feature survey, Sprig might report “30% of users experienced confusion on onboarding step 2” – saving you hours of tallying responses.
  • Behavior + feedback correlation: Sprig combines in-product behavior (Replays) with survey answers and uses AI to find patterns (sprig.comsprig.com). It might highlight “Users who struggled with Feature A also gave low satisfaction scores,” revealing pain points that aren’t obvious from metrics alone.
  • AI recommendations: Launched in late 2024, Sprig AI Recommendations even suggests product improvements by analyzing user sentiment (sprig.com). Essentially, it digests what users say and how they behave, then proposes data-backed ideas (e.g. “Consider redesigning onboarding; many users dropped off and complained about confusion (sprig.com). It’s like having a virtual UX researcher on call.

3. Competitive Analysis and Market Intelligence

Staying on top of competitors and market trends is another area where AI shines. These tools automatically monitor myriad external sources and distill what product teams need to know:

• Crayon – A leading competitive intelligence platform that introduced an AI Toolkit in 2024 to supercharge CI teams (crayon.cocrayon.co). Crayon uses AI to not just gather intel but also turn it into actionable insights:
  • Real-time intel Q&A: Crayon Answers is like an AI-powered CI analyst at your disposal. Team members can ask questions (e.g. “What’s Competitor X’s pricing strategy?”) and get instant answers drawn from Crayon’s monitoring of news, websites, and internal sales battlecards (crayon.co). This saves product marketers and PMs hours of research by delivering bite-sized answers with source citations.
  • Automated analysis & reports: Crayon Sparks uses machine learning to sift through diverse data (pricing changes, press releases, reviews) and automatically generates reports and battlecard updates (crayon.co). In seconds, it might produce a summary of “Competitor Y’s Q1 moves” or update a sales battlecard with new differentiators. This automation ensures your competitive insights are always up-to-date.
  • Trend detection: Crayon’s AI also performs win-loss and trend analysis across aggregated data (crayon.co). It can highlight patterns like “Feature Z is frequently mentioned in lost deals against Competitor Y,” helping PMs adjust product strategy or messaging. By anticipating shifts rather than just reacting, teams can outmaneuver rivals (crayon.co).
• Klue – An AI-powered competitive enablement platform used to collect and curate competitor insights (rivalsense.co). Klue stands out for integrating internal and external intelligence and delivering it in the flow of work:
  • Comprehensive competitor profiles: Klue continually gathers intel from the web (news, reviews, LinkedIn, etc.) and from your internal teams (sales notes, support feedback) to maintain rich competitor profiles (rivalsense.co). AI helps merge these sources, so a PM sees the full picture – like external product announcements alongside your sales team’s notes on why you’re losing deals.
  • AI-driven battlecards: Klue’s system uses AI to suggest battlecard updates and talking points automatically. For example, if a competitor launches a new feature, Klue will flag it and even draft a blurb on how to counter it, saving product marketing time.
  • “Compete” alerts and agent:* In 2024 Klue launched a Compete Agent – an AI assistant that proactively pushes relevant competitive insights to you (e.g. in Slack or Salesforce) exactly when needed (klue.com). It might alert a PM, “Competitor X just changed their pricing tier – here’s what happened (rivalsense.co)” enabling you to respond quickly in your strategy or customer communication.
• RivalSense – A newer AI tool specifically for monitoring any company’s moves in real timerivalsense.co. RivalSense acts as your personal market intelligence analyst, automatically tracking:
  • Company “signals”: You select companies or topics, and RivalSense continuously scans sources for key developments – product launches, fundraising news, partnerships, pricing changes, hiring activity, patents, media mentions, etc. (rivalsense.co). It filters out the noise and delivers concise updates. For example, you could follow “Acme Inc.” and get an alert summary when Acme launches a new feature or secures a big client.
  • Digestible newsletters: The tool generates easy-to-read competitive insight digests. A weekly RivalSense email might say, “Competitor A launched Feature Y and raised prices 10%. Competitor B’s CTO departed.” This keeps product managers and strategy teams informed without manual research.
  • Customization and alerts: You can customize the AI to watch for specific strategic moves (e.g. “any AI-related announcements in fintech”). RivalSense will then alert you only when relevant signals appear. It essentially offloads the tedious task of combing through news feeds while ensuring you never miss a beat on market shifts.
• Feedly + Leo – For a more DIY approach to market intelligence, Feedly’s AI assistant Leo helps PMs curate and consume industry news fast (docs.feedly.com). Within Feedly (a popular RSS/news aggregator), Leo acts as a smart filter:
  • Topic and trend filtering: You can train Leo on what topics, keywords, or competitor names to prioritize (completeaitraining.com). For instance, tell Leo to watch for “competitor product launches” or “AI trend reports in e-commerce,” and it will sift through hundreds of articles to surface only the most relevant ones.
  • Deduping and summarization: Leo automatically eliminates duplicate news and can summarize articles for quick reading (feedly.comcompleteaitraining.com). Instead of reading 10 articles about the same event, you get one summary with key points. This is a huge time-saver when tracking broad trends.
  • Custom “AI Feeds”: Feedly allows building AI-powered feeds that continually update on specific market intel needs (e.g. “New product announcements in healthtech” (docs.feedly.com). The AI will pull in fresh content and even provide analytics on the volume and sources of news over time. It’s like having a living, breathing market radar you can check anytime.

4. Product Analytics and Metrics

Modern product management is data-driven. The following tools use AI to help PMs uncover insights and answer data questions without heavy manual analysis or SQL prowess:

• Mixpanel (Spark AI) – Mixpanel’s analytics platform introduced “Ask Spark AI”, a generative AI assistant that lets anyone query product data in plain English (mixpanel.commixpanel.com). It essentially puts a data analyst in the PM’s pocket:
  • Natural language queries: With Spark, you can chat with your product metrics. Ask questions like “What was user sign-up growth last month by country?” and Spark instantly generates the analysis and a chart (mixpanel.commixpanel.com). No need to manually build a funnel or know SQL – the AI interprets your question and fetches the answer from Mixpanel.
  • Automated reports: Spark can also create full reports or dashboards based on prompts (akkio.comakkio.com). For example, “Show a retention cohort analysis for feature X vs Y” will yield a ready-made visualization. This lowers the barrier for PMs to get advanced insights, as Mixpanel’s genAI handles the heavy lifting of report creation (akkio.com).
  • Guidance and exploration: The AI doesn’t just answer – it can suggest follow-up questions or deeper analysis. If you ask about a drop in engagement, Spark might recommend exploring which user segment saw the biggest drop. It’s like an analyst proactively guiding you to insights you might have missed.
• Amplitude (Ask Amplitude) – Amplitude, another leading analytics suite, launched Ask Amplitude to simplify data exploration with AI. In their 2024 update, Amplitude unveiled an AI-powered query engine that works conversationally (amplitude.com):
  • Conversational data analysis: Ask Amplitude allows teams to “ask questions in plain English, and get answers in real time powered by generative AI” (amplitude.com). For example, a PM could ask “Which features drive the highest 7-day retention for new users?” and Amplitude will output the analysis and charts, complete with recommendations on what to look at next (amplitude.com).
  • Auto-visualization and next steps: The AI not only provides the data but visualizes results and suggests what to ask next (amplitude.com). If it shows a drop in conversion after a certain step, it might prompt you, “Do you want to see conversion broken down by user cohort or by traffic source?” – teaching teams how to dig deeper.
  • Reduced learning curve: By removing the need to manually build charts or know which metrics to pull, Ask Amplitude makes analytics accessible to non-data-specialists. As Amplitude puts it, it “removes the heavy lifting so teams can get insights without having to build or analyze anything” (amplitude.comamplitude.com). This means faster answers and more team members using data to make decisions, not just the data scientists.
• Julius AI – A newcomer on the scene, Julius AI is branded as “the AI data analyst that works for you.” It allows PMs and other knowledge workers to plug in data and ask questions in natural language, with no coding or BI expertise required (julius.ai):
  • No-code data analysis: Connect your data sources (CSV, database, etc.), then simply ask Julius in plain English for what you need (julius.aijulius.ai). For example, “Compare weekly active users before and after the new feature launch” or “What factors predict user churn in this dataset?”. Julius will perform the analysis and return answers with charts in seconds.
  • Instant charting and reporting: Julius excels at turning raw data into clear visuals and insights instantly (julius.aijulius.ai). It can produce bar charts, trends, or full reports on the fly. If you upload, say, a spreadsheet of customer survey results, Julius can instantly summarize key stats or even categorize free-text responses using AI, eliminating hours of manual spreadsheet work.
  • Iterative, context-aware analysis: The AI remembers context and follows up like a human analyst (julius.ai). You can drill down with follow-up questions (e.g. “Now segment that by plan type”) without starting over – Julius maintains the thread. It’s also built to handle complex analysis steps (switching to advanced modes like Python/R if needed), but only if you want to. In everyday use, it’s as simple as chatting with a smart colleague who never sleeps. The result: data-driven answers on demand, freeing PMs from long waits or tedious DIY analysis (technews180.com)(winsomemarketing.com).

5. Communication and Team Collaboration

Product managers act as information hubs – coordinating across teams, meetings, and documents. AI is making internal collaboration smoother by summarizing discussions, organizing knowledge, and even drafting communications:

• Slack (Slack AI) – In early 2024, Slack rolled out built-in generative AI features to help users navigate the deluge of messages (slack.comslack.com). For PMs who live in Slack, these are game-changers:
  • Channel recaps: Slack AI can generate key highlights from any channel on demand (slack.com). If you’ve been out or the project channel blew up overnight, one click gives you a concise summary of the important topics and decisions, instead of scrolling through hundreds of messages.
  • Thread summaries: In long Slack threads, it will provide one-click summaries so you can quickly catch up on the conversation without reading every reply (slack.com). This is perfect for busy PMs jumping between discussions – you get the gist and any outcomes or action items immediately.
  • Search answers: Slack’s AI-enhanced search turns up direct answers to questions from your workspace knowledge (slack.com). For example, ask, “What was decided about Feature X launch date?” and Slack AI will output the answer drawn from messages or files, complete with a link to the source conversation. It’s like having a personal assistant who’s read every Slack message company-wide, ensuring you never miss critical info buried in the noise.
• Notion (Notion AI) – The popular all-in-one workspace Notion introduced AI features that are a boon for PMs organizing notes, specs, and tasks (productschool.com):
  • Automated note-taking: Notion AI can scan your meeting notes or docs and generate action items and summaries (productschool.com). After a stakeholder meeting, for instance, it can instantly pull out “Next steps” and decisions, saving you from manually highlighting or re-typing tasks.
  • Content enhancement: When writing in Notion, the AI acts as a smart editor – proofreading for spelling/grammar and even suggesting clearer phrasing (productschool.com). It ensures your PRDs or update emails are polished and professional with minimal effort.
  • Text generators and answers: You can also use Notion AI to generate drafts (e.g. “draft an announcement for feature launch”) or answer questions from your knowledge base. If your team documents live in Notion, ask “What’s the API rate limit we support?” – the AI will find and present the answer if it exists in your pages. This turns Notion into a team brain that’s easily queryable, speeding up collaboration.
• Missive – A team communication tool that goes beyond email by unifying chats, SMS, and more in one inbox, Missive has embraced AI to eliminate communication grunt work (productschool.com):
  • Unified inbox with AI: Missive lets product teams collaborate on a shared inbox for customer emails, social messages, etc., and its AI features help triage and respond (productschool.com). All your communications are in one place, and the AI can prioritize or categorize them (e.g. tag emails as feature feedback, bug report, etc.).
  • Email summarization and drafting: One standout: Missive’s AI can summarize long email threads automatically (productschool.com). If a customer sends a multi-paragraph story or a lengthy Slack discussion is forwarded, a PM can get the TL;DR and main ask instantly. It also helps draft replies – propose a response and the AI will refine it for tone and clarity.
  • Grammar and consistency: Missive’s AI doubles as an editor, fixing grammar or typos in your communications on the fly (productschool.com). Busy PMs firing off quick emails can rest assured the AI will clean up any mistakes, ensuring professional and consistent messaging to stakeholders and customers.
• tl;dv – Short for “Too Long; Didn’t Video,” tl;dv is an AI-powered meeting recorder that transcribes and summarizes meetings within seconds (productschool.com). It’s like having a virtual note-taker in every Zoom call:
  • Instant meeting summaries: After any important meeting (scrum, user interview, etc.), tl;dv generates an immediate summary and transcript (productschool.com). Instead of re-watching recordings or scribbling notes, PMs get a concise recap with key points and decisions. This frees you to stay engaged in the discussion, knowing notes are handled.
  • Searchable transcripts & highlights: All recordings are transcribed, and you can keyword search them or even ask the AI questions about the meeting. For example, “What were the main UX pain points mentioned?” – tl;dv will pull the relevant snippet. This makes reviewing user research sessions or handoff meetings much more efficient.
  • Customizable focus: You can prompt tl;dv to focus its summaries on particular topics (say, “summarize any bug discussions in this call”) (productschool.com). It will then produce a tailored recap (e.g. a list of all bugs mentioned and who will fix them). Such targeted insight ensures follow-ups don’t get lost and team members see what’s relevant to them at a glance.

6. AI-Powered Prototyping and Design

Bringing ideas to life through design is faster (and more fun) with AI. Whether you’re a PM sketching a quick wireframe or a designer exploring concepts, these tools use generative AI to create and tweak designs from simple inputs:

• Figma + AI Features – In mid-2024, Figma (the UI design tool of choice) introduced Figma AI – a suite of intelligent features to boost designer productivity (figma.com). While in beta, it’s already showcasing what’s possible:
  • Visual and asset search: Figma AI includes visual search that lets you find design components by description or even by uploading an image (figma.comfigma.com). For example, you can highlight a button in a screenshot or type “primary blue button,” and Figma will surface the matching component from your design library or suggest similar community assets. This eliminates digging through endless layers for that one icon or style.
  • Auto-layout generation: A feature called “Make Designs” allows users to generate UI layouts from text prompts (figma.comfigma.com). Describe the interface you need – e.g. “a mobile app home screen with a search bar at top, grid of product cards” – and Figma AI will create a first-draft layout with appropriate components. It’s like magic for prototyping: PMs can get a rough UI mockup to discuss with the team in seconds.
  • Content generation: The AI can also fill your design with realistic text and images instead of lorem ipsum (figma.com). If you have a design of a blog or an e-commerce card, one click generates plausible copy or a relevant stock image to make the mockup look real (figma.com). This helps in early testing or presentations by providing context – users or stakeholders can see a prototype with meaningful content, not placeholder gibberish.
• Galileo AI (Prompt-to-UI) – Galileo AI (recently acquired by Google) burst onto the scene as “ChatGPT for interface design” (cerebralvalley.ai). It’s a specialized tool where you enter a short text description, and Galileo generates an editable UI design (geeksforgeeks.org):
  • Text-to-UI generation: Simply tell Galileo what you need: “A sleek login page with a logo, two text fields and a login button”. In under a minute, Galileo will produce a high-fidelity design of that screen, complete with layout, placeholder text, and styling that matches the description (geeksforgeeks.org)(cerebralvalley.ai). It’s not just wireframes – the outputs are often polished enough to be mistaken for a designer’s work, and you can export them to Figma or code.
  • Image-to-UI and style transfer: You can also feed Galileo a rough sketch or reference image, and it will generate a refined UI based on that (geeksforgeeks.org). For example, draw boxes on paper for an idea, snap a photo, and Galileo will transform it into a digital design with proper alignment and styling. It even adds AI-generated graphics/images if your prompt suggests a theme (e.g. “space travel app” might get starry background images) (geeksforgeeks.org).
  • Use cases for PMs: Non-designers can use Galileo to prototype ideas quickly without waiting on design resources. Founders and PMs have used it to mock up concepts and gather feedback before investing in pixel-perfect designs(cerebralvalley.ai). It’s also great for exploring multiple design directions – generate a few variations and pick the best to refine further. In short, Galileo turns plain language into interface designs, unlocking rapid ideation.
• Uizard – An AI-powered design tool focused on rapid wireframing and prototyping for product teams. Uizard can turn hand-drawn sketches or text prompts into multi-screen mockups in minutesuizard.iouizard.io:
  • Autodesigner (text to prototype): Uizard’s Autodesigner lets you generate entire app or website prototypes from a prompt (uizard.io). For instance, input “A task management mobile app with a home dashboard, task list, and calendar view” – Uizard will generate a clickable prototype with those screens and a consistent theme. It even creates multiple screens and a theme automatically, so you get a coherent set of designs to start with.
  • Sketch to wireframe: With Uizard’s Wireframe Scanner, you can upload a photo of a hand-drawn UI sketch, and it will convert it into an editable digital wireframe (raw.studiouizard.io). This is incredibly useful for PMs who like to brainstorm on paper or whiteboard – your rough drawing instantly becomes a structured design you can tweak and share.
  • Theme and style generation: Uizard can also generate design themes and styles. Upload your company logo or describe a vibe (e.g. “playful fintech, dark mode”), and it will create a matching color palette and style guide for your prototype (merge.rocks). This means even non-designers can ensure the prototype aligns with branding or a desired look-and-feel without manual styling. Uizard essentially empowers product managers and teams to go from idea to interactive mockup at lightning speed, using AI to handle the tedious parts of design.

Wrapping Up

The world of product management is evolving fast, and AI is no longer just a buzzword — it’s a set of practical tools you can use today to work smarter, not harder. Whether you’re mapping out your next big roadmap, analyzing customer feedback, or prototyping a new feature, there’s now an AI sidekick to help you save time and make better decisions.

But the best part? These tools are still just scratching the surface. As they keep improving, the role of a product manager will become less about manual busywork and more about creativity, strategy, and empathy.

💡 Your Turn:
I’d love to hear from you — which AI tools are you using in your product management workflow? Have you tried any of the ones on this list, or do you have a hidden gem worth sharing? Drop your thoughts in the comments below!